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DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2026.data
 versity.net/sessionPop.cfm?confid=165&proposalid=16541\nThe goal of this pr
 esentation is to give data governance practitioners a framework to quantify
  and measure data quality risk. This presentation will cover examples of me
 trics, discussing concepts, calculations, thresholds, constraints, and visu
 alization techniques in measuring data quality risk. While the presentation
  covers a detailed framework, practitioners can pick and choose metrics tha
 t work for their organizations.\n\nThis framework is divided into 3 broad s
 ections\n\n
 Coverage – Does the organization have adequate coverage across variou
 s aspects of data quality\n	\n
 Adherence to Enterprise Data Quality Standards.\n
 Data quality risks covered by minimum, registered data quality controls\n
 Critical data elements with detective data quality rule coverage\n	\n	\n
 Performance – Do controls perform as expected, and are DQ checks with
 in threshold\n	\n		Detective Data Quality metrics\n
 Controls design adequacy\n		Controls operating effectiveness\n	\n	\n
 Remediation – Are data quality defects being remediated on time\n	\n
 Share of unresolved defects\n	\n
 \n\nThe presentation will go into details of each of these metrics with exa
 mples of how we have used them, as well as walk through options to create a
 ggregated or weighted scores that incorporate all these metrics into one / 
 few metrics for board-level reporting.\n
DTSTART:20260505T154500
SUMMARY:Quantifying Data Quality Risk
DTEND:20260505T162959
LOCATION: See Description
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